DEVELOPMENT OF AN ALGORITHM FOR INTERPRETATION OF INPUT VARIABLES OF FUZZY LOGIC CONTROLLER FOR REAL-TIME SYSTEMS

Abstract

The purpose of the research work is to develop an algorithm for interpreting input variables by a discrete membership function of a fuzzy set for embedded and real-time systems. To achieve the goal set in the scientific work, the following tasks were solved: the study of fuzzy logical inference in automatic control systems: analysis of the fuzzy set building, representation of a discrete input values; development of an algorithm and software implementation for real-time systems. Methods for setting input variables for fuzzy logic systems were considered, an algorithmic implementation of the representation of the input value as an element of a fuzzy set and automatic calculation of the membership function was proposed.